Lead Data Scientist

at  Binance

Binance is the leading global blockchain ecosystem and cryptocurrency infrastructure provider whose suite of financial products includes the world’s largest digital-asset exchange.
Our mission is to accelerate cryptocurrency adoption and increase the freedom of money.
If you’re looking for a fast-paced, mission-driven organization where opportunities to learn and excel are endless, then Binance is the place for you.
Data-driven based business is the core in helping us to use the cloud-native platforms to serve tens of millions of crypto-currency users. Engineers and Data Scientists across the company use the data platform to do interesting and impactful analyses for continuous innovations.
As a data scientist, you will have the opportunity to leverage rich data (PB-level scalability) and state-of-art machine learning infrastructure to develop data products that are used by our tens of millions of crypto-currency users. You will collaborate with a strong team of engineers, data analysts, business operation and product/marketing managers to define and build solutions, features, algorithms and products based on our rich data and cutting-edge machine learning technology.
To be successful in this role, you must be a quick learner, stellar machine learning skills with rich and solid experience from inception to business impact, strong communication capabilities and work well in cross-functional teams (e.g. with data users from different marketing and consumer team). This is a great opportunity to enhance your machine learning /data science skills in markets and familiarize with Blockchain based technology and etc while making a real impact on Blockchain and Crypto-Currency technology globally.

REQUIREMENTS:

• MSc or Phd in Machine Learning, Computer Vision, Computer Science or Applied Mathematics with at least 5 years of relevant industry experience
• Excellent hands-on experience with popular Machine Learning frameworks such as PyTorch or TensorFlow
• Bilingual English/Mandarin is required to be able to coordinate with internal and external stakeholders.
• Experienced in leading a team
• Experience with application development practices at scale
• Good global team collaboration skills and experiences are good add-ons as well
• Publication record at top conferences and journals is a plus

We have multiple openings available and many more are coming due to our rapid growth of the business. Sample projects include:

• User behavior and pattern analysis: KYC, Anti-Money Laundry, and abnormal user automated recognition to provide our users with safe and more accurate information service
• Digital data asset: obtain the blockchain based data to perform chain-based data analysis, prediction and recommendations.
• Personalized recommender system: leverage of our PB-scale data warehouse to perform in-depth analysis and recommender system for our end-users
• Data driven customer feedback and satisfaction analysis: leverage of machine learning techniques to understand customer’s feedback and satisfaction with proven data evidence and analysis

• Responsible for designing and managing search recommendation services and models
• Knowledge of machine learning powered personalization methods, design patterns and tools
• In-depth understanding of Recommendation systems with the business domain knowledge to take the impact of AI product to the next level
• Drive the development of core modules with data-driven strategy to maximize the impact
• Identify the needs and opportunities, define success metrics with Business and Product management teams